What is he best known for?
The fields of study he is best known for:
- Health care
- Finance
- Public health
Winnie Yip mainly focuses on Health policy, Health care, Incentive, Public economics and Economic growth.
His Health policy research is multidisciplinary, incorporating perspectives in Development economics, Finance and Investment.
His studies link Developing country with Health care.
He has included themes like Health economics, Workforce, Payment and Insurance policy in his Incentive study.
His studies in Public economics integrate themes in fields like International health, Capitation, HRHIS and Self-insurance.
His study on Health promotion, Gross domestic product and Health information technology is often connected to Preparedness as part of broader study in Economic growth.
His most cited work include:
- Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development (1301 citations)
- Early appraisal of China's huge and complex health-care reforms (748 citations)
- Does social capital enhance health and well-being? Evidence from rural China. (434 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Health care, Economic growth, Health policy, Public economics and Actuarial science.
His biological study spans a wide range of topics, including Incentive and Family medicine.
His study in the field of Global health and Gross domestic product is also linked to topics like Sustainability, East Asia and Public fund.
His research integrates issues of Development economics and Health promotion in his study of Health policy.
The concepts of his Development economics study are interwoven with issues in Developing country and Poverty.
As part of the same scientific family, Winnie Yip usually focuses on Public economics, concentrating on Payment and intersecting with Competition.
He most often published in these fields:
- Health care (49.44%)
- Economic growth (26.97%)
- Health policy (21.35%)
What were the highlights of his more recent work (between 2017-2020)?
- Health care (49.44%)
- Economic growth (26.97%)
- Health policy (21.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Health care, Economic growth, Health policy, Demography and Global health.
The Health care study combines topics in areas such as Emergency medicine, Family medicine and Medical record.
His Economic growth research incorporates themes from Public hospital and Long-term care.
His work on Health care reform and Universal coverage as part of general Health policy research is often related to Empirical evidence, thus linking different fields of science.
His work carried out in the field of Health care reform brings together such families of science as Poverty and Financial protection.
His study in the field of Global Health Initiatives also crosses realms of Reflection, Public relations and Sustainable development.
Between 2017 and 2020, his most popular works were:
- 10 years of health-care reform in China: progress and gaps in Universal Health Coverage (106 citations)
- Quality of primary health care in China: challenges and recommendations. (38 citations)
- Intended and unintended impacts of price changes for drugs and medical services: Evidence from China. (29 citations)
In his most recent research, the most cited papers focused on:
- Health care
- Public health
- Finance
Health care, Economic growth, Public health, Accountability and Sustainability are his primary areas of study.
Winnie Yip has researched Health care in several fields, including Developing country, Public economics and Revenue.
As part of his studies on Economic growth, Winnie Yip often connects relevant subjects like Incentive.
His studies deal with areas such as Quality, Payment system and Investment as well as Public health.
Global health, Sustainable development, General partnership, Global mental health and Civil society are fields of study that overlap with his Accountability research.
Sustainability is connected with Welfare, Long-term care, Social insurance and Private sector in his research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
